For multilayer perceptron (MLP), the initial weights will significantly influence its
performance. Based on the enhanced fractional derivative extend from convex optimization …

Body language (BL) refers to the non-verbal communication expressed through physical
movements, gestures, facial expressions, and postures. It is a form of communication that …

This paper presents a gesture generation model based on an RNN-transducer, submitted to
the GENEA Challenge 2022. The proposed model consists of three neural networks …

Emotions play a significant role in how we perceive and interact with products. Thoughtfully
designed emotionally appealing products can evoke strong user responses, making them …

Hybrid work, defined as a work arrangement that allows employees to perform work at
different locations, will become the most prevalent work model in the next decade. While …

This paper introduces an innovative method specifically created for identifying and
understanding fixed hand movements that represent symbols in American Sign Language …

Abstract The demand for Deep Learning applications in resource constrained devices is
booming in recent years. The use of Deep Neural Network (DNN) is the leading method in …

This paper provides a analysis of previous research on sign language recognition systems
and their impact on Providing meaningful interaction among non-verbal individuals. It …